Persistent Link:
http://hdl.handle.net/10150/105640
Title:
User Misconceptions of Information Retrieval Systems
Author:
Chen, Hsinchun; Dhar, Vasant
Citation:
User Misconceptions of Information Retrieval Systems 1990, 32(6):673-692 International Journal of Man-Machine Studies
Journal:
International Journal of Man-Machine Studies
Issue Date:
1990
Description:
Artificial Intelligence Lab, Department of MIS, University of Arizona
URI:
http://hdl.handle.net/10150/105640
Submitted date:
2004-09-20
Abstract:
We report results of an investigation where thirty subjects were observed performing subject-based search in an online catalog system. The observations have revealed a range of misconceptions users have when performing subject-based search. We have developed a taxonomy that characterizes these misconceptions and a knowledge representation which explains these misconceptions. Directions for improving search performance are also suggested.
Type:
Journal Article (Paginated)
Language:
en
Keywords:
Knowledge Representation; Artificial Intelligence
Local subject classification:
National Science Digital Library; NSDL; Artificial Intelligence lab; AI lab; Taxonomy

Full metadata record

DC FieldValue Language
dc.contributor.authorChen, Hsinchunen_US
dc.contributor.authorDhar, Vasanten_US
dc.date.accessioned2004-09-20T00:00:01Z-
dc.date.available2010-06-18T23:30:38Z-
dc.date.issued1990en_US
dc.date.submitted2004-09-20en_US
dc.identifier.citationUser Misconceptions of Information Retrieval Systems 1990, 32(6):673-692 International Journal of Man-Machine Studiesen_US
dc.identifier.urihttp://hdl.handle.net/10150/105640-
dc.descriptionArtificial Intelligence Lab, Department of MIS, University of Arizonaen_US
dc.description.abstractWe report results of an investigation where thirty subjects were observed performing subject-based search in an online catalog system. The observations have revealed a range of misconceptions users have when performing subject-based search. We have developed a taxonomy that characterizes these misconceptions and a knowledge representation which explains these misconceptions. Directions for improving search performance are also suggested.en_US
dc.format.mimetypeapplication/pdfen_US
dc.language.isoenen_US
dc.subjectKnowledge Representationen_US
dc.subjectArtificial Intelligenceen_US
dc.subject.otherNational Science Digital Libraryen_US
dc.subject.otherNSDLen_US
dc.subject.otherArtificial Intelligence laben_US
dc.subject.otherAI laben_US
dc.subject.otherTaxonomyen_US
dc.titleUser Misconceptions of Information Retrieval Systemsen_US
dc.typeJournal Article (Paginated)en_US
dc.identifier.journalInternational Journal of Man-Machine Studiesen_US
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